We propose a novel approach for constructing a Power Internet of Things (PIOT) collaborative network architecture using intelligent motors in this paper, eliminating the need for a traditional controller area network interface. The proposed system transforms the conventional centralized vehicle motor, call motor, control model—where a single control unit governs all motors—into a decentralized control framework. More importantly, it integrates modified quantum three-dimension (3D) communication (MQ3D), enabling coordination among different types (AC, DC) and quantities of motors through a smart DC bus architecture built with only two power lines. This configuration supports synchronized motor driving and improves system scalability. In conventional systems, motor operation can induce harmonic interference in control circuits due to fluctuating drive currents, potentially leading to malfunctions—especially when multiple heterogeneous motors operate simultaneously in complex harmonic environments. In contrast, the proposed system uses power waveforms as communication signals, avoiding the need for additional communication infrastructure, thereby reducing hardware costs. Moreover, unlike traditional communication platforms such as Wi-Fi or Bluetooth that rely on low-power signals susceptible to interference, power-based communication inherently offers greater noise immunity owing to its higher energy signals. The MQ3D technology applied in this study is a novel quantum communication method that does not require sidebands between communication channels and can operate at ultralow frequencies (below 1 Hz). The proposed method also addresses limitations in MQ3D’s original amplitude-restricted design, which constrained data space and reduced communication speed. Effective motor collaboration requires not only responsive control units but also high-speed and reliable communication. To address the aforementioned issues, we also propose a PIOT system, implemented on an automotive platform using a smart motor architecture. Leveraging advances in quantum communication, we enhanced data throughput and the responsiveness of the motor collaboration system. To validate the proposed methodology, a test platform was developed using a personal computer, a custom smart DC bus controller, Arduino Mega2560, and various motors. MATLAB®, a packet software program, was employed for experimental verification, and the feasibility and correctness of the theoretical concepts proposed in this research were demonstrated.